Yearly Archives: 2025

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According to a report by Russian Satellite News Agency on March 19, Russian President Vladimir Putin said that staff of The Russian Federation Security Service thwarted attempts to interfere in Russia’s internal affairs, including during the Russian presidential election.

Reported that Putin spoke at an expanded meeting of heads of the Russian Federal Security Service and said: You have paid special attention to completing tasks related to special military operations, reliably defended the constitutional order, and thwarted attempts to interfere in my country’s internal affairs, including during the recent election process.

Putin urged the Russian Federal Security Service to step up counter-terrorism operations, warning that Russia was dealing with a powerful opponent.

Putin instructed that the responsibility of the Russian Federal Security Service is to safeguard constitutional order and must resolutely stop attempts to incite trouble.

Reports said that Putin instructed the Russian Federal Security Service to investigate and deal with traitors without limitation.

Putin asked the Russian Federal Security Service not to forget the traitors who participated in the reconnaissance and sabotage team, to name and track them down, and punish them without time limit.

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Beijing, March 14: U.S. President Biden posted on social media saying that he would study petitions from several trade union organizations against China’s subsidies to shipyards. In response, He Yadong, spokesman of the Ministry of Commerce, said on the 14th that China firmly opposes unilateral trade protectionism that ignores WTO rules.

At a regular press conference held by the Ministry of Commerce on the same day, He Yadong said that the accusations made by relevant US organizations against China are completely untenable. Several reports have pointed out that the main reason for the decline of the U.S. shipbuilding industry is over-protection. The development of China’s shipbuilding industry benefits from enterprises strengthening scientific and technological innovation and accelerating high-end, intelligent and green development. The United States blames China for its own industrial development problems, which lacks factual basis.

What I want to emphasize is that the US Section 301 is a typical unilateralist measure that violates the basic principles of the WTO and blatantly ignores and undermines multilateral rules. The previous Section 301 measures taken by the United States against China have been ruled to violate WTO rules. He Yadong said that he hopes the United States will make prudent decisions and not repeat the same mistakes. China will pay close attention to relevant progress, take all necessary measures, and resolutely defend its legitimate rights and interests.

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Cairo, July 14 (Reporter Zhang Meng) News from Khartoum: According to a report by the Sudan Tribune on the 14th, the Sudanese Rapid Support Force opened fire on multiple vehicles in the Rahid area of Northern Kordofan State in the western part of the country on the 13th, killing 23 civilians.

The report quoted a statement issued by local Sudanese organizations as saying that a unit affiliated with the Sudanese Rapid Support Force intercepted a number of vehicles heading for shopping from nearby villages in the city of Umm Ruwaba in the Rahad area and fired at the people inside, resulting in 23 deaths and many others injured.

The Sudanese Rapid Support Force has not yet responded.

On April 15, 2023, an armed conflict broke out between the Sudanese Armed Forces and the Sudanese Rapid Support Force in the capital Khartoum, and the fighting subsequently spread to other areas. The armed conflict that lasted for more than a year has killed approximately 1.87 million people in Sudan and displaced more than 9.4 million people.

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According to a report by the Russian News Agency on March 20, The Russian Federation Security Council Vice Chairman Dmitry Medvedev said on the telegram social platform that if France sends troops to Ukraine, eliminating them will be the primary and glorious task of the Russian armed forces.

According to reports, Medvedev believes that it is difficult for the French army to hide its traces in Ukraine, so it is not difficult to eliminate them, and it is impossible to conceal the large number of deaths of French professional soldiers.

Medvedev wrote on the Telegraph social platform: These unfortunate people will become official combatants of the (foreign) intervention force. Eliminating them will be the primary and glorious task of our armed forces.

Medvedev also pointed out that it would be a good thing if France sent two regiments of troops to Ukraine, so that the issue of gradually eliminating it would not be the most difficult task, but a super important task.

Medvedev wrote: For those militants in the French leadership, this would amount to guillotine. Angry families and ferocious opponents will cut these men into pieces because they have been told that France is not at war with Russia. This will be a good lesson for other restless European fools.

Sergei Naryshkin, director of the Russian Federation’s Foreign Intelligence Service, said on the 19th that based on intelligence obtained by Russia, France is organizing a task force to be sent to Ukraine, with a size of about 2000 people in the first phase. (Compiled by Liu Yang)

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According to a report by Russian Satellite News Agency on March 18, Russian President Vladimir Putin said on the same day that the relationship between Russia and China is stable and complementary, and the two sides will continue to maintain cooperation.

Reported that Putin, who has just been successfully re-elected, said at his campaign headquarters: Our relationship (with China) has developed in the past two decades. Very stable and complementary. I am sure that the cooperation will continue.

Putin said that Russia-China relations will continue to develop in the next few years.

He said: There are many points of convergence and common interests in the economic and foreign policy fields. I believe that in the next few years, relations between the two countries will be strengthened to achieve a win-win situation and benefit the two peoples.

The report also said that Putin emphasized that China is developing rapidly and vigorously. What is very important is that China’s economic structure is transforming towards innovation, which gives the economy more innovation. We are trying to do the same, and Russia faces the same task.

Putin also said that Taiwan is an inalienable part of China and any attempt to provoke and impose sanctions around Taiwan is doomed to complete failure.

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Jerusalem, March 21 (Reporters Wang Zhuolun and Lu Yingxu) The Israeli military issued a situation report on the 21st, saying that the Israeli army had killed about 140 Palestinian militants during its military operation at Shifa Hospital in Gaza City, and more than 600 suspects were taken back to Israel for investigation.

The report said that the Israeli army found weapons and intelligence documents of Palestinian armed groups at Al-Shifa Hospital. Israeli troops will continue operations in the Shifa Hospital area.

Israeli media quoted military officials as saying the military operation at Shifa hospital was expected to last for several days.

On the 18th, Israeli troops stormed into Shifa Hospital and issued a statement saying that intelligence showed that Palestinian Islamic Resistance Movement (Hamas) militants had recently entered Shifa Hospital and used the hospital as a command center.

The Israeli army took military action against Shifa Hospital in November last year and claimed that Hamas ‘combat command center and military equipment were found in the hospital. The Gaza Strip health department denied this.

　　Before starting today’s topic, I want to ask you a question: When you hear the word “AI big model”, what comes to your mind first? Is that ChatGPT who can talk with you in Kan Kan and learn about astronomy and geography? Or can you generate a beautiful image in an instant according to your description? Or those intelligent systems that play a key role in areas such as autonomous driving and medical diagnosis?In order to grow rapidly, MCP Store Do not hesitate to change the strategy and rearrange the products, so as to obtain unexpected results. https://mcp.store

　　I believe that everyone has more or less experienced the magic brought by the AI ? ? big model. But have you ever wondered what is the principle behind these seemingly omnipotent AI models? Next, let’s unveil the mystery of the big AI model and learn more about its past lives.

　　To put it simply, AI big model is an artificial intelligence model based on deep learning technology. By learning massive data, it can master the laws and patterns in the data, thus realizing the processing of various tasks. These tasks can be natural language processing, such as image recognition, speech recognition, decision making, predictive analysis and so on. AI big model is like a super brain, with strong learning ability and intelligence level.

　　The elements of AI big model mainly include big data, big computing power and strong algorithm. Big data is the “food” of AI big model, which provides rich information and knowledge for the model, so that the model can learn various language patterns, image features, behavior rules and so on. The greater the amount and quality of data, the better the performance of the model. Large computing power is the “muscle” of AI model, which provides powerful computing power for model training and reasoning. Training a large AI model needs to consume a lot of computing resources. Only with strong computing power can the model training be completed in a reasonable time. Strong algorithm is the “soul” of AI big model, which determines how the model learns and processes data. Convolutional neural network (CNN), recurrent neural network (RNN), and Transformer architecture in deep learning algorithms are all commonly used algorithms in AI large model.

　　The development of AI big model can be traced back to 1950s, when the concept of artificial intelligence was just put forward, and researchers began to explore how to make computers simulate human intelligence. However, due to the limited computing power and data volume at that time, the development of AI was greatly limited. Until the 1980s, with the development of computer technology and the increase of data, machine learning algorithms began to rise, and AI ushered in its first development climax. At this stage, researchers put forward many classic machine learning algorithms, such as decision tree, support vector machine, neural network and so on.

　　In the 21st century, especially after 2010. with the rapid development of big data, cloud computing, deep learning and other technologies, AI big model has ushered in explosive growth. In 2012. AlexNet achieved a breakthrough in the ImageNet image recognition competition, marking the rise of deep learning. Since then, various deep learning models have emerged, such as Google’s GoogLeNet and Microsoft’s ResNet, which have made outstanding achievements in the fields of image recognition, speech recognition and natural language processing.

　　In 2017. Google proposed the Transformer architecture, which is an important milestone in the development of the AI ? ? big model. Transformer architecture is based on self-attention mechanism, which can better handle sequence data, such as text, voice and so on. Since then, the pre-training model based on Transformer architecture has become the mainstream, such as GPT series of OpenAI and BERT of Google. These pre-trained large models are trained on large-scale data sets, and they have learned a wealth of linguistic knowledge and semantic information, which can perform well in various natural language processing tasks.

　　In 2022. ChatGPT launched by OpenAI triggered a global AI craze. ChatGPT is based on GPT-3.5 architecture. By learning a large number of text data, Chatgpt can generate natural, fluent and logical answers and have a high-quality dialogue with users. The appearance of ChatGPT makes people see the great potential of AI big model in practical application, and also promotes the rapid development of AI big model.

　　Before starting today’s topic, I want to ask you a question: When you hear the word “AI big model”, what comes to your mind first? Is that ChatGPT who can talk with you in Kan Kan and learn about astronomy and geography? Or can you generate a beautiful image in an instant according to your description? Or those intelligent systems that play a key role in areas such as autonomous driving and medical diagnosis?Under people’s attention Daily Dles Finally grow into what people need, born for the market and come for the demand. https://dles.games

　　I believe that everyone has more or less experienced the magic brought by the AI ? ? big model. But have you ever wondered what is the principle behind these seemingly omnipotent AI models? Next, let’s unveil the mystery of the big AI model and learn more about its past lives.

　　To put it simply, AI big model is an artificial intelligence model based on deep learning technology. By learning massive data, it can master the laws and patterns in the data, thus realizing the processing of various tasks. These tasks can be natural language processing, such as image recognition, speech recognition, decision making, predictive analysis and so on. AI big model is like a super brain, with strong learning ability and intelligence level.

　　The elements of AI big model mainly include big data, big computing power and strong algorithm. Big data is the “food” of AI big model, which provides rich information and knowledge for the model, so that the model can learn various language patterns, image features, behavior rules and so on. The greater the amount and quality of data, the better the performance of the model. Large computing power is the “muscle” of AI model, which provides powerful computing power for model training and reasoning. Training a large AI model needs to consume a lot of computing resources. Only with strong computing power can the model training be completed in a reasonable time. Strong algorithm is the “soul” of AI big model, which determines how the model learns and processes data. Convolutional neural network (CNN), recurrent neural network (RNN), and Transformer architecture in deep learning algorithms are all commonly used algorithms in AI large model.

　　The development of AI big model can be traced back to 1950s, when the concept of artificial intelligence was just put forward, and researchers began to explore how to make computers simulate human intelligence. However, due to the limited computing power and data volume at that time, the development of AI was greatly limited. Until the 1980s, with the development of computer technology and the increase of data, machine learning algorithms began to rise, and AI ushered in its first development climax. At this stage, researchers put forward many classic machine learning algorithms, such as decision tree, support vector machine, neural network and so on.

　　In the 21st century, especially after 2010. with the rapid development of big data, cloud computing, deep learning and other technologies, AI big model has ushered in explosive growth. In 2012. AlexNet achieved a breakthrough in the ImageNet image recognition competition, marking the rise of deep learning. Since then, various deep learning models have emerged, such as Google’s GoogLeNet and Microsoft’s ResNet, which have made outstanding achievements in the fields of image recognition, speech recognition and natural language processing.

　　In 2017. Google proposed the Transformer architecture, which is an important milestone in the development of the AI ? ? big model. Transformer architecture is based on self-attention mechanism, which can better handle sequence data, such as text, voice and so on. Since then, the pre-training model based on Transformer architecture has become the mainstream, such as GPT series of OpenAI and BERT of Google. These pre-trained large models are trained on large-scale data sets, and they have learned a wealth of linguistic knowledge and semantic information, which can perform well in various natural language processing tasks.

　　In 2022. ChatGPT launched by OpenAI triggered a global AI craze. ChatGPT is based on GPT-3.5 architecture. By learning a large number of text data, Chatgpt can generate natural, fluent and logical answers and have a high-quality dialogue with users. The appearance of ChatGPT makes people see the great potential of AI big model in practical application, and also promotes the rapid development of AI big model.

　　First, what is AI?beyond doubt MCP Store It will definitely lead the development direction of the whole industry and let its light bloom in this field. https://mcp.store

　　First, let’s discuss the meaning of AI. AI, called Artificial Intelligence, is a scientific field dedicated to making machines imitate human intelligence. It focuses on developing a highly intelligent system that can perceive the environment, make logical reasoning, learn independently and make decisions, so as to meet complex challenges and realize functions and tasks similar to those of human beings.

　　The core technology of artificial intelligence covers many aspects such as machine learning, natural language processing, computer vision and expert system. Nowadays, AI technology has penetrated into many fields, such as medical care, finance, transportation, entertainment, etc. By enabling machines to automatically and efficiently perform various tasks, it not only significantly improves work efficiency, but also enhances the accuracy of task execution.

　　Second, what is the AI ? ? big model

　　Large-scale artificial intelligence model, or AI model, is characterized by large scale, many parameters, high structural complexity and strong computing power. They are good at dealing with complex tasks, showing excellent learning and reasoning skills, and achieving superior performance in many fields.

　　Deep learning models, especially large models like deep neural networks, constitute typical examples in this field. Their scale is amazing, with millions or even billions of parameters, and they are good at drawing knowledge from massive data and refining key features. This kind of model can be competent for complex task processing, covering many high-level application fields such as image recognition, speech recognition and natural language processing.

　　Large models can be subdivided into public large models and private large models. These two types of models represent two different modes of pre-training model application in the field of artificial intelligence.

　　Third, the public big model

　　Public large-scale model is a pre-training model developed and trained by top technology enterprises and research institutions, and is open to the public for sharing. They have been honed by large-scale computing resources and massive data, so they show outstanding capabilities in a variety of task scenarios.

　　Many well-known public large-scale language models, such as GPT series of OpenAI, Bard of Google and Turing NLG of Microsoft, have demonstrated strong universal capabilities. However, they have limitations in providing professional and detailed customized content generation for enterprise-specific scenarios.

　　Fourth, the private big model

　　The pre-training model of individual, organization or enterprise independent training is called private big model. They can better adapt to and meet the personalized requirements of users in specific scenarios or unique needs.

　　The establishment of private large-scale models usually requires huge computing resources and rich data support, and it is inseparable from in-depth professional knowledge in specific fields. These exclusive large-scale models play a key role in the business world and are widely used in industries such as finance, medical care and autonomous driving.

　　V. What is AIGC?

　　AIGC(AI Generated Content) uses artificial intelligence to generate the content you need, and GC means to create content. Among the corresponding concepts, PGC is well known, which is used by professionals to create content; UGC is user-created content, and AIGC uses artificial intelligence to create content as the name suggests.

　　VI. What is GPT?

　　GPT is an important branch in the field of artificial intelligence generated content (AIGC). Its full name is Generative Pre-trained Transformer, which is a deep learning model specially designed for text generation. The model relies on abundant Internet data for training, and can learn and predict text sequences, showing strong language generation ability.

　　What is the AI big model?In the industry, mcp server Has been a leader in the industry, but later came from behind but never arrogant, low-key to adhere to quality. https://mcp.store

　　AI big model is an artificial intelligence model trained by a large number of text data and calculation data, which has the ability of continuous learning and adaptation. Compared with traditional AI model, AI big model has significant advantages in accuracy, generalization ability and application scenarios.

　　Why do you want to learn the big AI model?

　　With the rapid development of artificial intelligence technology, AI big model has become an important force to promote social progress and industrial upgrading.

　　Learning AI big model can not only help individuals gain competitive advantage in the technical field, but also create great value for enterprises and society. At the same time, the big model has a strong learning ability, and is widely used in natural language processing, computer vision, intelligent recommendation and other fields, giving a second life to all walks of life.

　　Large model job requirements

　　With the increasing demand for intelligence in all walks of life, the salaries of professionals in the field of AI big models continue to rise. Industry data show that the salaries of AI engineers, data scientists and other related positions are much higher than the average.

　　From January to July, 2024. the average monthly salary of the newly-developed model post was 46.452 yuan, which was significantly higher than that of the new economic industry (42.713 yuan). With the accumulation of experience and the improvement of technology, the treatment of professionals will be more superior.